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| author | tedyu <yuzhihong@gmail.com> | 2015-11-02 13:51:53 -0800 |
|---|---|---|
| committer | Yin Huai <yhuai@databricks.com> | 2015-11-02 13:51:53 -0800 |
| commit | db11ee5e56e5fac59895c772a9a87c5ac86888ef (patch) | |
| tree | 66994bfbff8688a17c06d2968795ba5c926d494b /docs/mllib-naive-bayes.md | |
| parent | 33ae7a35daa86c34f1f9f72f997e0c2d4cd8abec (diff) | |
| download | spark-db11ee5e56e5fac59895c772a9a87c5ac86888ef.tar.gz spark-db11ee5e56e5fac59895c772a9a87c5ac86888ef.tar.bz2 spark-db11ee5e56e5fac59895c772a9a87c5ac86888ef.zip | |
[SPARK-11371] Make "mean" an alias for "avg" operator
From Reynold in the thread 'Exception when using some aggregate operators' (http://search-hadoop.com/m/q3RTt0xFr22nXB4/):
I don't think these are bugs. The SQL standard for average is "avg", not "mean". Similarly, a distinct count is supposed to be written as "count(distinct col)", not "countDistinct(col)".
We can, however, make "mean" an alias for "avg" to improve compatibility between DataFrame and SQL.
Author: tedyu <yuzhihong@gmail.com>
Closes #9332 from ted-yu/master.
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